{
    "info": {
        "author": "Matthias Buechi, Andreas Ahlenstorf",
        "author_email": "buec@zhaw.ch",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Scientific/Engineering :: Human Machine Interfaces"
        ],
        "description": "\n# AUDIOMATE\n\n[![PyPI](https://img.shields.io/pypi/v/audiomate.svg)](https://pypi.python.org/pypi/audiomate)\n[![Run Status](https://api.shippable.com/projects/5a1d31821e6eda0700091230/badge?branch=master)](https://app.shippable.com/github/ynop/audiomate)\n[![Coverage Badge](https://api.shippable.com/projects/5a1d31821e6eda0700091230/coverageBadge?branch=master)](https://app.shippable.com/github/ynop/audiomate)\n[![Documentation Status](https://readthedocs.org/projects/audiomate/badge/?version=latest)](https://audiomate.readthedocs.io/en/latest/?badge=latest)\n\nAudiomate is a library for easy access to audio datasets.\nIt provides the datastructures for accessing/loading different datasets in a generic way.\nThis should ease the use of audio datasets for example for machine learning tasks.\n\n```python\nimport audiomate\nfrom audiomate.corpus import io\n\n# Download a dataset\nesc_downloader = io.ESC50Downloader()\nesc_downloader.download('/local/path')\n\n# Load and work with the dataset\nesc50 = audiomate.Corpus.load('/local/path', reader='esc-50')\n\n# e.g. Read the audio signal and the label of specific sample/utterance\nutterance = esc50.utterances['1-100032-A-0']\nsamples = utterance.read_samples()\nlabel = utterance.label_lists[audiomate.corpus.LL_SOUND_CLASS][0].value\n```\n\nFurthermore it provides tools for interacting with datasets\n(validation, splitting, subsets, merge, filter), extracting features,\nfeeding samples for training ML models and more.\n\n* [Documentation](https://audiomate.readthedocs.io)\n* [Examples](https://github.com/ynop/audiomate/tree/master/examples)\n* [Changelog](https://audiomate.readthedocs.io/en/latest/notes/changelog.html)\n\nCurrently supported datasets:\n* [Acoustic Event Dataset](https://data.vision.ee.ethz.ch/cvl/ae_dataset/)\n* [AudioMNIST](https://github.com/soerenab/AudioMNIST)\n* [Mozilla Common Voice](https://voice.mozilla.org/)\n* [ESC-50](https://github.com/karoldvl/ESC-50)\n* [Free Spoken Digit Dataset](https://github.com/Jakobovski/free-spoken-digit-dataset)\n* [German Distant Speech Corpus](https://www.inf.uni-hamburg.de/en/inst/ab/lt/resources/data/acoustic-models.html)\n* [Google Speech Commands](https://research.googleblog.com/2017/08/launching-speech-commands-dataset.html)\n* [GTZAN](https://marsyasweb.appspot.com/download/data_sets/)\n* [M-AILABS Speech Dataset](http://www.m-ailabs.bayern/en/the-mailabs-speech-dataset/)\n* [MUSAN](http://www.openslr.org/17/)\n* [LITIS Rouen Audio scene dataset](https://sites.google.com/site/alainrakotomamonjy/home/audio-scene)\n* [Tatoeba](https://tatoeba.org/)\n* [TIMIT](https://github.com/philipperemy/timit)\n* [Urbansound8k](http://urbansounddataset.weebly.com/urbansound8k.html)\n* [Voxforge](http://www.voxforge.org/de)\n\nCurrently supported formats:\n* [Kaldi](http://kaldi-asr.org/)\n* [Mozilla DeepSpeech](https://github.com/mozilla/DeepSpeech)\n* [Custom Formats](https://ynop.github.io/audiomate/documentation/formats.html)\n\nIndirectly supported datasets ([Details](https://audiomate.readthedocs.io/en/latest/documentation/indirect_support.html)):\n* [Spoken Wikipedia Corpora](https://nats.gitlab.io/swc/)\n\n## Installation\n\n```sh\npip install audiomate\n```\n\nInstall the latest development version:\n\n```sh\npip install git+https://github.com/ynop/audiomate.git\n```\n\n## Development\n\n### Prerequisites\n\n* [A supported version of Python 3](https://docs.python.org/devguide/index.html#status-of-python-branches)\n\nIt's recommended to use a virtual environment when developing audiomate.\nTo create one, execute the following command in the project's root directory:\n\n```\npython -m venv .\n```\n\nTo install audiomate and all it's dependencies, execute:\n\n```\npip install -e .\n```\n\n### Running the test suite\n\n```\npip install -e .[dev]\npython setup.py test\n```\n\nWith PyCharm you might have to change the default test runner. Otherwise, it might only suggest to use nose. To do so, go to File > Settings > Tools > Python Integrated Tools (on the Mac it's PyCharm > Preferences > Settings > Tools > Python Integrated Tools) and change the test runner to py.test.\n\n### Benchmarks\n\nIn order to check the runtime of specific parts, ``pytest-benchmark`` is used. Benchmarks are normal test functions, but call the benchmark fixture for the code under test.\n\nTo run benchmarks:\n\n```\n# Run all\npytest bench\n\n# Specific benchmark\npytest bench/corpus/test_merge_corpus.py\n```\n\nTo compare between different runs:\n\n```\npytest-benchmark compare\n```\n\n### Editing the Documentation\n\nThe documentation is written in [reStructuredText](http://docutils.sourceforge.net/rst.html) and transformed into various output formats with the help of [Sphinx](http://www.sphinx-doc.org/).\n\n* [Syntax reference reStructuredText](http://docutils.sourceforge.net/docs/user/rst/quickref.html)\n* [Sphinx-specific additions to reStructuredText](http://www.sphinx-doc.org/en/stable/markup/index.html)\n\nTo generate the documentation, execute:\n\n```\npip install -e .[dev]\ncd docs\nmake html\n```\n\nThe generated files are written to `docs/_build/html`.\n\n### Versions\n\nVersions is handled using [bump2version](https://github.com/c4urself/bump2version). To bump the version:\n\n```\nbump2version [major,minor,patch,release,num]\n```\n\n\n",
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